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IMPACT OF ALTERNATIVE MAPS OF SOIL AND VEGETATION PARAMETERS ON THE HYDROLOGICAL MODELING OF UPPER PART OF ARDA RIVER BASIN IN BULGARIA
Abstract
In this study SURFEX land surface model is used coupled to RAPID river routing model in order to investigate the influence of alternative ground and rooting depth, soil texture and land cover maps on the ability of the coupled system to adequately simulate the river flow in Upper Arda River basin in Bulgaria. This was done by comparing the statistical scores of computed from the model data series against measured streamflow discharge series: that is scores of simulations using former soil texture maps from Harmonized World Soil Database v1.2 (HWSD) and land cover maps ECOCLIMAP-II/Europe with scores of simulations using such maps from alternative sources available on-line: for rooting depth, derived from carbon cost-benefit model, from Commonwealth Scientific and Industrial Research Organization (CSIRO) Data Access Portal (DAP); for soil texture and ground depth from European Soil Data Centre (ESDAC); for land cover maps from ECOCLIMAP-SG, developed by CNRM/Me?te?o-France. A modeling period of 13 months was used for the analysis of the sensitivity of the model to changes in used parameter maps. Coupled SURFEX-RAPID modeling system was fed with measured meteorological data interpolated in space on 4 km grid having 1 h step in time. Influence of new maps on simulated river flow was tested: for the depth of the root-inhabited layer in the soil; the ground depth for hydrology; sand and clay fractions in the soil; land use maps. The article describes the methods of testing the new maps in combination of model physical schemes, as well as the results of the sensitivity analysis. Considerable positive impact on statistical scores of the hydrological simulations is recorded when using alternative maps of ground depth for hydrology combined with rooting depth map. Positive impact of new maps with soil texture parameters was observed, but only in combination with new ground and rooting depth maps. Use of more detailed ECOCLIMAP-SG land cover maps, but also in combination with new depth maps and new soil texture maps, showed the best statistical scores for 4 out of 6 sub-basins.
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Ballabio, C., Panagos, P., Montanarella, L., (2016). Mapping topsoil physical properties at European scale using the LUCAS database, Geoderma, 261, 110-123.
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